• Nem Talált Eredményt

Optimisation of Microwave Pretreatment for Biogas Enhancement through Anaerobic Digestion of Microalgal Biomass

N/A
N/A
Protected

Academic year: 2022

Ossza meg "Optimisation of Microwave Pretreatment for Biogas Enhancement through Anaerobic Digestion of Microalgal Biomass"

Copied!
8
0
0

Teljes szövegt

(1)

Cite this article as: Feng, R. Z., Zaidi, A. A., Zhang, K., Shi, Y. "Optimisation of Microwave Pretreatment for Biogas Enhancement through Anaerobic Digestion of Microalgal Biomass", Periodica Polytechnica Chemical Engineering, 63(1), pp. 65–72, 2019. https://doi.org/10.3311/PPch.12334

Optimisation of Microwave Pretreatment for Biogas Enhancement through Anaerobic Digestion of

Microalgal Biomass

Rui Zhe Feng1, Asad A. Zaidi1, Kun Zhang1, Yue Shi1*

1 College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China

* Corresponding author, email: shiyue@hrbeu.edu.cn

Received: 02 April 2018, Accepted: 04 June 2018, Published online: 15 June 2018

Abstract

In this study, optimization of microwave (MW) pretreatment conditions for anaerobic digestion of green microalgae (Enteromorpha) is carried out by using response surface methodology (RSM). MW power, pretreatment time and liquid-solid ratio were selected as independent variables for optimization. The optimum conditions were achieved at MW power, pretreatment time and liquid-solid ratio of 656.92 W, 5.10 min and 33.63:1, respectively. From these optimum conditions, it was found that MW pretreatment power of about 600 W had better effect. An anaerobic digestion was carried out batch-wise with working volume, operating temperature and mixing rate as 250 ml, 37 °C and 150 rpm, respectively. Optimum conditions provide highest amount of COD and reducing sugar increase of 10,420 mg/L and 0.77-0.79 g/L respectively. The increase in COD and reducing sugar showed that the pretreatment has improved anaerobic digestion of microalgae. The peak biogas production amount of MW pretreated 20:1, 6 min group reached 244 mL whereas the control group only reached 188 mL in total.

Keywords

anaerobic digestion, biofuel, biomass, microwave (MW) pretreatment, response surface methodology

1 Introduction

Today's society is highly dependent on fossil fuels such as crude oil, natural gas, lignite and coal [1]. These natu- ral reserves are region specific and may cause depletion of resources in some regions after a certain amount of time.

Our industrialized society is highly dependent on the use of energy sources for the continuation of its economic and wel- fare growth. Biomass is a renewable energy source, which has the potential to provide high energy fuel for heating, cooling and electrical purposes in its all three forms (solid, liquid and gas) [2]. Biogas is produced due to bio-decompo- sition of organic material caused by bacteria in anaerobic conditions. Instant storage and usage as a substitute of natu- ral gas is the primary advantage of biogas [3]. To encounter the growing demands of energy across the world and waste disposal, production and distribution of biogas from organic matter could serve as one possible solution.

Anaerobic digestion is a biochemical and microbiologi- cal process in which decomposition of organic matter takes place in the absence of oxygen [4]. The anaerobic digestion process consists of four main conversion phases of organic

matter into biogas namely; hydrolysis, acidogenesis, aceto- genesis and methanogenesis [5]. In the first phase large and complex organic matter such as carbohydrates, fats and pro- teins react with water to form monomers by the assistance of hydrolytic bacteria. During the second phase conversion of monomers into volatile fatty acids (VFAs) is carried out by the aid of fermentative bacteria. The third phase involves the transformation of VFA into acetic acid, carbon dioxide (CO2) and hydrogen under the action of acetogenic bacteria.

During the final phase, methanogenic bacteria convert ace- tic acid and hydrogen into methane (CH4) and CO2 [6]. The stages of anaerobic digestion process are shown in Fig. 1.

Hydrogen production via fermentative biomass has more advantage over the traditional hydrogen preparation methods as it does not require an abundance of chemical raw materi- als, in addition the production process does not require con- suming a lot of energy. Biological hydrogen production is better than other traditional methods of production as it is green [7]. Aquatic algal biomass, which can be sourced from natural algal bloom or mass cultivation, is considered as a

(2)

promising substrate for hydrogen fermentation [8]. Previous studies indicated that anaerobic sludge (AS) and microal- gae were co-cultured to enhance the energy conversion and nutrients removal from starch waste water [9].

Hydrolysis is considered as the rate limiting step in anaerobic digestion process. Pretreatment techniques have been used to improve hydrolysis and anaerobic digestion performance [10]. Numerous pretreatment techniques have been instigated for complex substrates, such as mechanical, thermal, chemical or biological treatments [11]. Microwave (MW) pretreatment is a thermal pretreatment method, which can obtain the desired temperature faster than con- ventional heating methods and the process is energy effi- cient too. The optimization of MW pretreatment conditions is very important in order to get an energy efficient overall improvement on fermentation conditions.

The RSM is a useful tool for improving and optimizing unknown systems or processes in combination with mathe- matical methods and statistical analysis [12]. In this method, an experimental design is used to effectively respond on the surface design and the statistical model of the information by establishing a fitting curve which is obtained when the experimental design is applied. The scientific map describes the relationship between the response and the variable.

The aim of the present study is to explore the effect of MW pretreatment on the anaerobic digestion of green algae (Enteromorpha). RSM is used for finding the optimum

condition for the multivariate interactive factors for this method of pretreatment. To understand the effectiveness of the MW pretreatment, measurements of soluble indexes including chemical oxygen demand (COD), volatile fatty acids (VFAs), and reducing sugar were carried out.

2 Materials and Methods 2.1 Raw Materials

The anaerobic sludge used in the experiment was obtained from the Harbin Wenchang Sewage Treatment Plant, Harbin, China. It had been aeration cultured for 2 weeks, according to the ratio of 300:5:1 plus glucose, NH4Cl, KH2PO4, with the sludge in brown color and a good settling for experiment [13]. The Enteromorpha used in the exper- iment was from the freshwater algae and acquired from the Institute of Hydrobiology of The Chinese Academy of Science, Wuhan, China. It had been air-dried in the Drying oven, and sealed with a breathable film in the bottle.

2.2 Optimisation of process parameters using RSM and experimental design

Batch experiments were conducted to analyze the effect at different MW power (400-800 W), pretreat- ment time (2-6 min) and liquid-solid ratio (20:1-60:1).

The Enteromorpha powder was mixed with deionized water to make the desired liquid-solid ratio. All the exper- iments were conducted in triplicate [14].

A three-factor central composite design (CCD) was used to design the experiment for constructing models using design expert software version 8.0.6. Cumulative biogas production was chosen as the response variable, while MW power (A), pretreatment time (B) and liq- uid-solid ratio (C) were used as three independent vari- ables, as is indicated in Table 1. The experimental design and corresponding experimental results are shown in Table 2. The results presented for COD, reducing sugar and carbohydrates are after pretreatment but before fer- mentation experiments. It shows difference between con- trol and pretreatment.

2.3 Experimental Procedure

The MW pretreatment was carried out with a microwave oven in such a way that after every minute the microalgae solution was stirred and the temperature was measured with a thermometer. The temperature during pretreat- ment was recorded no higher than 50 °C. The anaerobic digestion of MW pretreated Enteromorpha with sludge was carried out batchwise. The experiment was divided

Fig. 1 Stages of anaerobic digestion process

(3)

into four groups, each group contained 10 g MW pre- treated Enteromorpha powder, and 30 ml of fresh sludge (TS: 5.9 g/L) in a 250 mL-scale glass bottle. The initial pH was adjusted at 7 by 1M NaOH and 1M HCl. The bot- tles were sealed with rubber stoppers and flushed with nitrogen gas for 5 min [15]. The digestion environment was maintained at 37 °C [16] and 150 rpm.

2.4 Analytical Methods

The measurements of soluble indexes including chemical oxygen demand (COD), pH, volatile fatty acids (VFAs) and reducing sugar were determined according to stan- dard methods [17]. Biomass concentration like glucose concentration was estimated by 3,5-dinitrosalicylic acid (DNS) method using spectrophotometer (DR 3900, HACH, USA) at a maximum wavelength (λmax) of 550 nm. The pH was recorded using a pH analyzer (PHS-3C, INESA, China). Volatile fatty acids (VFA) were analyzed using High-performance liquid chromatography (HPLC 7820A, Agilent Technologies, USA). The hydrogen con- tent of the biogas was analyzed by gas chromatography (SP-2100A, BFRL, USA) with Thermal Conductivity Detector-Flame Ionization Detector (TCD-FID).

3 Results and Discussion

3.1 Effect of MW Pretreatment on COD and Reducing Sugar

The result of MW pretreatment on COD is shown in Fig. 2 (a). It is clearly shown that the group of liquid-solid ratio 20:1 provided the peak initial COD concentration value of 5,130 mg/L and the group 60:1, provided the least amount of value, i.e, 1,980 mg/L. The most signif- icant increase in COD is found to be 1,605 mg/L and 1,985 mg/L obtained by the group 40:1 ratio at the MW power of 400W and 800W, respectively.

The change of reducing sugar concentration during the MW pretreatment is shown in Fig. 2 (b). The increase in reducing sugar with the groups of ratio 20:1 and 60:1 is not so significant. In contrast, the group with ratio 40:1 showed better performance on reducing sugar change. The high- est amount of reducing sugar is found to be 0.0502 g/L.

However, the group of MW power with 600 W indicated small increase and reached only 0.0062 g/L of reducing

Table 1 Level of the independent variables for RSM.

Independent

Variables Parameters Low

Level High

Level

A MW Power (W) 400 800

B Pretreatment Time (min) 2 6

C Liquid-Solid Ratio 20:1 60:1

Table 2 Experimental design for cumulative production and corresponding experimental results

Run Power (W) Time

(min) Ratio COD (mg/L)

Reducing sugar (mg/L)

Carbonhydrate (mg/L)

1 800 2 40:1 3670 190 46

2 600 2 60:1 2320 462 34

3 400 4 20:1 3010 161 117

4 600 6 20:1 5750 471 150

5 600 4 40:1 5150 619 68

6 800 4 60:1 4690 263 121

7 400 2 40:1 3520 229 54

8 400 6 40:1 5370 293 107

9 600 6 60:1 4120 225 92

10 400 4 60:1 1500 165 43

11 800 4 20:1 5620 344 129

12 600 2 20:1 6320 308 108

13 800 6 40:1 8340 464 141

Fig. 2 (a) COD change with MW pretreatment (b) Reducing sugar change with MW pretreatment

(b) (a)

(4)

sugar value. The behavior at 600 W is found to be similar for both COD and reducing sugar.

3.2 Optimisation of MW Pretreatment Process Parameters

The following regression equation (Eq. (1)) fits the experi- mental data of cumulative biogas production:

R sugar A B C

AB AC BC

= + + −

− − −

618 69 51 63 33 12 21 28 52 79 21 31 99 95

. . . .

. . .

−−229 11. A2−95 64. B2−156 32. C2.

(1)

The ANOVA result for the quadratic model is presented in Table 3. The determination of coefficient R2 and adjusted R2 were found to be 0.9009 and 0.6036, respectively. The ANOVA calculation shows that the P-value (Prob > F) is 0.0560, which means the relationship between the inde- pendent variables and the response values investigated in this experiment are significant and the scheme is reliable.

From the impact of different factors in this experiment on the biogas production, the term A2 Prob > F value of ratio is 0.0303 which is less than 0.05, meaning that A2 had sig- nificant influence in the biogas production. The term C2 also has conspicuous effect on biogas production. Further, comparing the P-value with A, B and C, it can be found that the influence of these 3 factors was MW power > pre- treatment time > liquid-solid ratio.

The response surface design results in the form of three-dimensional response curves are shown in Fig. 3.

It can be observed that the curvature of MW power is slightly larger than the pretreatment time, indicating that the effect of MW power on the biogas production is significantly larger than the pretreatment time. The same observation can also depict the plot of liquid-solid ratio and MW power. The curvature of MW power is slightly larger than liquid-solid ratio. In the plot of liquid-solid ratio and pretreatment time the curvature of liquid- solid ratio is less than pretreatment time, indicating that pretreatment time is a more effective factor. In contour plots, it is found that the contour line is an obvious oval, which indicates that the interaction between both the two factors are significant. This is in continuity with the variance analysis. The elliptical contour plots show the good interaction between the independent variables.

The optimum conditions for the MW pretreatment are found to be, MW power at 656.92 W, pretreatment time at 5.10 min and liquid-solid ratio at 33.63:1.

3.3 Biogas Production

MW pretreatment power of 600 W is used to per- form the anaerobic digestion experiment to observe the real effect on biogas yield with different liquid-solid ratio and time. The biogas production influenced by different MW pretreatment conditions is shown in Fig. 4. The gas amount increased to 238, 223, 244 and 188 mL for the groups 20:1, 2 min, 40:1, 4 min, 20:1, 6 min and control, respectively. The two groups 20:1, 6 min and 20:1 2 min provide maximum gas production amount of 244 mL and 238 mL, respectively. The group with liquid-solid ratio 40:1 and pretreatment time of 4 min showed an abrupt increase with 36 mL at 60 h as compared to control. The maximum cumulative biogas and the amount of hydrogen produced during the experiment are presented in Table 4.

The biogas production potential of carbohydrate is much higher than that of lipid and protein. The differ- ent carbohydrate content could be one of the reasons for different biogas production [18]. It can be observed form Fig. 2 (b) that the reducing sugar value increased after MW pretreatment indicating that pretreatment dissolute the Enteromorpha cell wall and releases more carbohy- drate and increases biogas production.

3.4 Change in COD and reducing sugar concentration The dynamic change of COD during anaerobic digestion process is shown in Fig. 5. It is found that the liquid-solid ratio in 20:1 displays good performance, especially the group of ratio 20:1 and 6 min in 600 W achieves highest

Table 3 ANOVA of the quadratic regression model for cumulative biogas production

Source

model Sum of

squares

(degree Df freedom)of

Mean

square F value P-value Prob > F

Model 10173.23 9 2414.62 10.03 0.0560

A-power 21327.53 1 21327.53 2.68 0.2004

B-time 8774.55 1 8774.55 1.10 0.3711

C-ratio 3621.52 1 3621.52 0.45 0.5485

AB 11146.29 1 11146.29 1.40 0.3221

AC 1816.21 1 1816.21 0.23 0.6657

BC 39958.81 1 39958.81 5.01 0.1110

A2 12005.48 1 4205.05 15.06 0.0303

B2 20909.20 1 20909.20 2.62 0.2037

C2 55852.15 1 5852.15 15.01 0.0372

Residual 23904.85 3 7968.28

Cor Total 2.412E+005 12

R2 = 0.9009, adjusted R2 = 0.6036

(5)

COD value of 10,420 mg/L. However, the groups of liq- uid-solid ratio 60:1 and 2 min presents a low value. Fig. 6 shows the effect for reducing sugar during anaerobic diges- tion. It is found that the ratio 40:1, 4 min group provides highest value of 0.79 g/L and provides less biogas yield. Low reducing sugar value with high gas production means that

the most reducing sugar had been used to produce the gas in this period. The highest biogas amount with more sugar consumption during anaerobic digestion process is achieved by group 20:1, 6 min.

3.5 VFA production during fermentation

The production of VFA amount measured during the experiment is shown in Fig. 7. It is found that the amount of butyric acid had a very significant change in two groups. The amount of increase can reach 2,808 mg/L and 2,644 mg/L in group of 20:1 liquid-solid ratio, 6 min and 20:1 liquid-solid ratio, 2 min, respectively. High bio- gas yield is observed with high acetic acid and butyric

(a) (b)

(c) (d)

(e) (f)

Fig. 3 (a-f) Response surface plot and Contour plots for biogas

Table 4 Cumulative biogas production and amount of hydrogen produced during the experiment

Control 20:1

2min 40:1

4min 20:1

6min

Cumulative Biogas (ml) 188 238 223 244

Hydrogen % (v/v) 17.53 49.51 35.64 45.11

(6)

Fig. 4 Biogas production influenced by different MW pretreatment condition

Fig. 5 Dynamic change of COD during anaerobic digestion

Fig. 6 Dynamic change of reducing sugar during fermentation Fig. 7 VFA production affected by different MW pretreatment conditions

Table 5 Biogas potentials of pretreated microalgae

Pretreatment method Algae Pretreatment condition Biogas yields after pretreatment Ref.

Beating Pelvetia caniculata Hollander beater 444.3 mL biogas/g TS [20]

Ultrasound Hydrodictyon reticulatum 20 kHz 40 J/mL Methane production 2.3 times higher [21]

Thermal Scenedesmus 80 °C 57 % methane yield increase [22]

Chemical Chlorella vulgaris 4 M NaOH 237.9 mL CH4/g COD [23]

Nannochloropis salina 5 times until boiling at 600 W Biogas yield increase of 40 % [24]

Microwave Micro-algal from a high rate algal ponds 65.4 MJ/kg TS Biogas yield increase of 78 % [25]

Enteromorpha Shown above 24.4 mL biogas/g dry algae This

study

(7)

acid production. In contrast, it had a low level ethanol amount, and it is found that ethanol accumulation nega- tively affects the biogas yield, since ethanol production has no contribution to biogas production [19]. The Table 5 listed the biogas potentials between different pretreat- ment of microalgae.

4 Conclusions

The MW pretreatment enhanced the biogas production by providing highest amount of biogas yield with 244 mL, amount of COD with 10,420 mg/L and a highest amount of increase of reducing sugar from 0.24 g/L to 0.79 g/L. The best conditions of Enteromorpha MW pretreatment are: MW

power 656.92 W, pretreatment time 5.10 min, liquid-solid ratio 33.63:1. The presented results demonstrate the practi- cability of RSM optimum strategy and show the robustness of MW pretreatment with anaerobic digestion of microalgae (Enteromorpha) for enhancement in biogas yield.

Acknowledgement

This research was financially supported by the National Key R&D Plan of China (2017YFC1404605), the Natural Science Foundation of China (Grant No. 51579049 and 51509044), the Fundamental Research Funds for the Central Universities (HEUCFG201820) and the High Tech Ship Program.

References

[1] Saleh, N., Mushtaq, K., Zaidi, A. A., Abbasoglu, S., Faiz Ahmed, S. "Design and Performance Analysis of a Solar Powered Hybrid Rickshaw for Commercial Use in Pakistan", Journal of Environmental Science and Technology, 9(6), pp. 472–480, 2016.

https://doi.org/10.3923/jest.2016.472.480

[2] Zhang, Q., Hu, J., Lee, D.-J. "Biogas from anaerobic digestion pro- cesses: Research updates", Renewable Energy, 98, pp. 108–119, 2016.

https://doi.org/10.1016/j.renene.2016.02.029

[3] Mushtaq, K., Zaidi, A. A., Askari, S. J. "Design and perfor- mance analysis of floating dome type portable biogas plant for domestic use in Pakistan", Sustainable Energy Technologies and Assessments, 14, pp. 21–25, 2016.

https://doi.org/10.1016/j.seta.2016.01.001

[4] Al Seadi, T., Rutz, D., Prassl, H., Köttner, M., Finsterwalder, T., Volk, S., Janssen, R. "Biogas Handbook", University of Southern Denmark Esbjerg, Esbjerg, Denmark, 2008.

[5] Hagos, K., Zong, J., Li, D., Liu, C., Lu, X. "Anaerobic co-di- gestion process for biogas production: Progress, challenges and perspectives", Renewable and Sustainable Energy Reviews, 76, pp. 1485–1496, 2017.

https://doi.org/10.1016/j.rser.2016.11.184

[6] Mao, C., Feng, Y., Wang, X., Ren, G. "Review on research achievements of biogas from anaerobic digestion", Renewable and Sustainable Energy Reviews, 45, pp. 540–555, 2015.

https://doi.org/10.1016/j.rser.2015.02.032

[7] Yin, D., Liu, W., Zhai, N., Yang, G., Wang, X., Feng, Y., Ren, G.

"Anaerobic digestion of pig and dairy manure under photo-dark fermentation condition", Bioresource Technology, 166, pp. 373–

380, 2014.

https://doi.org/10.1016/j.biortech.2014.05.037

[8] Xia, A., Cheng, J., Song, W., Su, H., Ding, L., Lin, R., Lu, H., Liu, J., Zhou, J., Cen, K. "Fermentative hydrogen production using algal biomass as feedstock", Renewable and Sustainable Energy Reviews, 51, pp. 209–230, 2015.

https://doi.org/10.1016/j.rser.2015.05.076

[9] Ren, H.-Y., Liu, B.-F., Kong, F., Zhao, L., Ren, N. "Hydrogen and lipid production from starch wastewater by co-culture of anaer- obic sludge and oleaginous microalgae with simultaneous COD, nitrogen and phosphorus removal", Water Research, 85, pp. 404–

412, 2015.

https://doi.org/10.1016/j.watres.2015.08.057

[10] Wang, J., Yin, Y. "Fermentative hydrogen production using pre- treated microalgal biomass as feedstock", Microbial Cell Factories, 17(22), pp. 1-16, 2018.

https://doi.org/10.1186/s12934-018-0871-5

[11] Deepanraj, B., Sivasubramanian, V., Jayaraj, S. "Effect of substrate pretreatment on biogas production through anaerobic digestion of food waste", International Journal of Hydrogen Energy, 42(42), pp. 26522–26528, 2017.

https://doi.org/10.1016/j.ijhydene.2017.06.178

[12] Box, G. E. P., Wilson, K. B. "On the Experimental Attainment of Optimum Conditions", In: Kotz, S., Johnson, N. L. (eds.) Breakthroughs in Statistics, Springer Series in Statistics (Perspectives in Statistics), Springer, New York, USA, 1992, pp. 270-310.

https://doi.org/10.1007/978-1-4612-4380-9_23

[13] Waligórska, M. "Fermentative Hydrogen Production - Process Design and Bioreactors", Chemical and Process Engineering, 33(4), pp. 585–594, 2012.

https://doi.org/10.2478/v10176-012-0048-4

[14] Ren, N.-Q., Zhao, L., Chen, C., Guo, W.-Q., Cao, G.-L. "A review on bioconversion of lignocellulosic biomass to H2: Key challenges and new insights", Bioresource Technology, 215, pp. 92–99, 2016.

https://doi.org/10.1016/j.biortech.2016.03.124

[15] Xia, A., Jacob, A., Tabassum, M. R., Herrmann, C., Murphy, J. D. "Production of hydrogen, ethanol and volatile fatty acids through co-fermentation of macro- and micro-algae", Bioresource Technology, 205, pp. 118–125, 2016.

https://doi.org/10.1016/j.biortech.2016.01.025

[16] Karadag, D., Puhakka, J. A. "Effect of changing temperature on anaerobic hydrogen production and microbial community compo- sition in an open-mixed culture bioreactor", International Journal of Hydrogen Energy, 35(20), pp. 10954–10959, 2010.

https://doi.org/10.1016/j.ijhydene.2010.07.070

(8)

[17] Chinese Environmental Protection Chief Bureau, Water and Wastewater Monitoring and Analysis Association "Standard Methods for the Examination of Water and Waste Water", 4th ed., Chinese Environmental Sciences Press, Beijing, China, 2002.

[18] Dong, L., Zhenhong, Y., Yongming, S., Xiaoying, K., Yu, Z.

"Hydrogen production characteristics of the organic fraction of municipal solid wastes by anaerobic mixed culture fermenta- tion", International Journal of Hydrogen Energy, 34(2), pp. 812–

820, 2009.

https://doi.org/10.1016/j.ijhydene.2008.11.031

[19] Jiang, D., Ge, X., Zhang, T., Liu, H., Zhang, Q. "Photo-fermentative hydrogen production from enzymatic hydrolysate of corn stalk pith with a photosynthetic consortium", International Journal of Hydrogen Energy, 41(38), pp. 16778–16785, 2016.

https://doi.org/10.1016/j.ijhydene.2016.07.129

[20] Tedesco, S., Benyounis, K. Y., Olabi, A. G. "Mechanical pretreat- ment effects on macroalgae-derived biogas production in co-di- gestion with sludge in Ireland", Energy, 61, pp. 27–33, 2013.

https://doi.org/10.1016/j.energy.2013.01.071

[21] Lee, K., Chantrasakdakul, P., Kim, D., Kong, M., Park, K. Y.

"Ultrasound pretreatment of filamentous algal biomass for enhanced biogas production, Waste Management, 34(6), pp. 1035–

1040, 2014.

https://doi.org/10.1016/j.wasman.2013.10.012

[22] González-Fernández, C., Sialve, B., Bernet, N., Steyer, J. P. "Thermal pretreatment to improve methane production of Scenedesmus bio- mass", Biomass and Bioenergy, 40, pp. 105–111, 2012.

https://doi.org/10.1016/j.biombioe.2012.02.008

[23] Mendez, L., Mahdy, A., Timmers, R. A., Ballesteros, M., González- Fernández, C. "Enhancing methane production of Chlorella vul- garis via thermochemical pretreatments", Bioresource Technology, 149, pp. 136–141, 2013.

https://doi.org/10.1016/j.biortech.2013.08.136

[24] Schwede, S., Kowalczyk, A., Gerber, M., Span, R. "Influence of Different Cell Disruption Techniques on Mono Digestion of Algal Biomass", In: World Renewable Energy Congress, Linköping, Sweden, 2011, pp. 41–47.

https://doi.org/10.3384/ecp1105741

[25] Passos, F., Solé, M., García, J., Ferrer, I. "Biogas production from microalgae grown in wastewater: Effect of microwave pretreat- ment", Applied Energy, 108, pp. 168–175, 2013.

https://doi.org/10.1016/j.apenergy.2013.02.042

Hivatkozások

KAPCSOLÓDÓ DOKUMENTUMOK

Co-fermentation of the microbial biomass and maize silage improved the biogas production: The metagenomic results indicated that pronounced changes took place in the domain

Efficiency o f anaerobic digestion (AD) was characterized by the specific biogas yield, expressed in biogas production per total solid (TS) content o f digested

In our experiments the effect of intensity of microwave irradiation, volumetric flow and concentration on anaerobic digestion was investigated, which were

While in-situ biological biogas upgrading may consider- ably increase the methane content and the heating value of the biogas produced in the anaerobic digester, the quality of

Increase in Fermentable Sugars of Olive Tree Pruning Biomass for Bioethanol Production: Application of an Experimental Design for Optimization of Alkaline Pretreatment..

Variable cost, VC (variable cost) can be defined as the sum of the cost of material C m (material cost), and produc- tion time-based cost C t ( printing time cost).. 2

The focus of this investigation was to determine the optimum conditions in a continuous flow microwave treating system under which the microwave pre-treatment of meat

Beside that microwave irradiation is generally suitable to increase the methane content in produced biogas, it can be noticed, that despite of higher biogas yield and